CWLEXEC: Run Common Workflow Language on HPC with IBM Spectrum LSF
28 February 2018CWLEXEC: Run Common Workflow Language on HPC with IBM Spectrum LSF https://bioexcel.eu/webinar-cwlexec-a-new-open-source-tool-to-run-cwl-workflows-on-lsf/ https://tess.elixir-europe.org/events/cwlexec-a-new-open-source-tool-to-run-cwl-workflows-on-lsf The [Common Workflow Language (CWL)](http://www.commonwl.org/) is a community-led specification for describing analysis _workflows_ and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and _high performance computing_ (HPC) environments. [IBM Spectrum LSF](https://www.ibm.com/us-en/marketplace/hpc-workload-management) (formerly IBM Platform LSF) is a complete workload management solution for demanding HPC environments. Featuring intelligent, policy-driven scheduling, it helps organizations accelerate research and design while controlling costs through superior resource utilization. Recognizing the popularity of CWL among LSF users, we introduce a new open source project **CWLEXEC** to support running CWL workflows on LSF. The project will feature smooth integration with LSF with high efficiency and scalability, self-healing of workflows, support user-specified submission options while keeping CWL definitions portable, and other benefits. * **Title**: CWLEXEC: A new open source tool to run CWL workflows on LSF * **Presenter:** Qingda Wang, Principal Architect, IBM Spectrum LSF Family Products and OEM * **Time**: 2018-02-28 14:00 GMT / 15:00 CET 2018-02-28 14:00:00 UTC 2018-02-28 15:00:00 UTC BioExcel Bioinformatics Genomics Workflows University of ManchesterBioExcel CoE Stian Soiland-Reyes http://ask.bioexcel.eu/  bioinformaticiansHPC users workshops_and_courses registration_of_interest WorkflowsCWLHPCLSF
Introduction to Linux and Workflows for Biologists
14 - 18 May 2018
Edinburgh, United KingdomIntroduction to Linux and Workflows for Biologists https://genomics.ed.ac.uk/services/introduction-linux-and-workflows-biologists https://tess.elixir-europe.org/events/introduction-to-linux-and-workflows-for-biologists-866df86c-a827-433d-9445-af7726bcf5a1 Most high-throughput bioinformatics work these days takes place on the Linux command line. The programs which do the majority of the computational heavy lifting — genome assemblers, read mappers, and annotation tools — are designed to work best when used with a command-line interface. Because the command line can be an intimidating environment, many biologists learn the bare minimum needed to get their analysis tools working. This means that they miss out on the power of Linux to customise their environment and automate many parts of the bioinformatics workflow. This course will introduce the Linux command line environment from scratch and teach students how to make the most of its tools to achieve a high level of productivity when working with biological data. 2018-05-14 09:00:00 UTC 2018-05-18 17:00:00 UTC The King's Buildings, The University of Edinburgh, Edinburgh, United Kingdom The King's Buildings, The University of Edinburgh Edinburgh United Kingdom EH9 3JN Workflows Bioinformatics Edinburgh Genomics Bert Overduin - email@example.com   workshops_and_courses  BioinformaticsLinuxWorkflows
H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 1
20 August 2018H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 1 https://www.youtube.com/watch?v=4_-pxWFUpfU&list=PLcQ0XMykNhCQJPz0amnbz9BPM4Bu0Nkgf https://tess.elixir-europe.org/events/h3abionet-2018-genotyping-chip-data-analysis-and-gwas-lecture-series #### Computational requirements for running the H3ABioNet GWAS workflows The first of a series of seven online lectures for Genome Wide Association Studies (GWAS) will cover the technical requirements for setting up a your computational environment for running the H3ABioNet GWAS workflows. In this inaugural lecture of the series, Prof. Hazelhurst will cover the the following topics: Installing and using Nextflow Installing and using Github Use of containers for packaging and running tools Pulling the GWAS pipeline from Github and running it As this lecture aims to provide attendees with an environment to the run the H3ABioNet GWAS workflow at their own pace, there are some preliminary software requirements: Either a Linux machine or an Apple running macOS Ideally you should have machine with at least 2-4 cores and 8GB of RAM. Java 8 Nextflow installed (see installation instructions at https://www.nextflow.io/) Python 3 Please also install either Docker OR the following dependencies using pip3: Pandas, Matplotlib, Openpyxl, SciPy, NumPy PLINK 1.9 [Please also refer to the following documentation to obtain the H3ABioNet GWAS workflow]: https://github.com/h3abionet/h3agwas/blob/master/README.md 2018-08-20 15:00:00 UTC 2018-08-20 16:30:00 UTC H3ABioNet Population genomics Genotyping experiment Computational biology Workflows GWAS study Bioinformatics H3ABioNet firstname.lastname@example.org H3ABioNet Anyone intersted in GWAS and using the H3Africa genotyping chipAnyone who wants to learn more about GWAS workshops_and_courses  NextflowDockerH3ABioNetGWASWorkflowsGenotyping array analysis bioinformaticsAfricaPopulation GenomicsReproducible ScienceH3Africa genotyping arrayHigh performance computingCloud computingGWAS workflowH3ABioNet GWAS 2018 Lecture Series
Workshop on Research Objects (RO2018)
29 October 2018
Amsterdam, NetherlandsWorkshop on Research Objects (RO2018) http://www.researchobject.org/ro2018/ https://tess.elixir-europe.org/events/workshop-on-research-objects-ro2018 In this workshop we will explore recent advancements in Research Objects and publishing of research data. **Deadlines**: * 2018-07-01 Abstracts due * 2018-07-15 Research articles and software/data articles due A travel bursary is available for accepted speakers, sponsored by [BioExcel](http://bioexcel.eu) (H2020-675728) ## Research Objects Scholarly Communication has evolved significantly in recent years, with an increasing focus on **Open Research**, [FAIR](https://doi.org/10.1038/sdata.2016.18)data sharing and community-developed open source methods. A question remains on how to publish, archive and explore digital research outputs. A number of initiatives have begun to explore how to package and describe research outputs, data, methods, workflows, provenance and structured metadata, reusing existing Web standards and formats. Such efforts aim to address the challenges of structuring multi-part research outcomes with their context, handling distributed and living content and porting and safely exchange what we collectively can call **Research Objects** between platforms and between researchers. In the workshop **RO2018**, part of [IEEE eScience 2018](https://www.escience2018.com) in Amsterdam, we will explore recent advancements in Research Objects and publishing of research data with peer-reviewed presentations, invited talks, short demos, lightning talks and break-out sessions to further build relationships across scientific domains and RO practitioners. ## Call for Papers RO2018 welcomes submissions of academic abstracts (1-2 pages), data/software articles (3-6 pages) and short research articles (4-8 pages) on cross-cutting case studies or specific research on topics including, but not limited to: FAIR metrics; platforms, infrastructure and tools; lifecycles; access control and secure exchange; examples of exploitation and application; executable containers; metadata, packaging and formats; credit, attribution and peer review; dealing with scale and distribution; driving adoption within current scholarly communications and alignments with community efforts; and domain-specific and cross-domain Research Objects. Further details on submitting: [http://www.researchobject.org/ro2018/submitting-to-ro2018/](http://www.researchobject.org/ro2018/submitting-to-ro2018/) ## Timeline 2018-07-01 Abstracts due 2018-07-15 Research articles and software/data articles due 2018-08-31 Notification of acceptance 2018-08-31 IEEE eScience 2018 early-bird registration deadline 2018-10-29 RO2018 workshop at IEEE eScience 2018 2018-10-29 09:00:00 UTC 2018-10-29 17:00:00 UTC The University of Manchester, researchobject.org, IEEE Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade, Amsterdam, Netherlands Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade Amsterdam Amsterdam Netherlands Workflows Software engineering Ontology and terminology Informatics Data submission, annotation and curation Data identity and mapping Data integration and warehousing Data architecture, analysis and design Data management Computer science  For any questions, email the Workshop Organizers at email@example.com BioExcel  workshops_and_courses  digital archivesdata repositorylinked dataWorkflows
Advances in Computational Biology Conference 2019
28 - 29 November 2019
Barcelona, SpainAdvances in Computational Biology Conference 2019 https://www.iscb.org/advcompbio2019 https://tess.elixir-europe.org/events/advances-in-computational-biology-conference-2019 The first **Advances in Computational Biology conference – _Fostering collaboration among women scientists_** will bring together researchers working on systems biology, omics technologies, artificial intelligence and high-performance computing with applications to biology from both the public and private sectors. One of the main purposes of the conference is to **visualize and promote the research done by women scientists** and for this reason, all presenters will be women, although the conference is open to everyone. We want to create a space to foster collaborations between scientists, providing an excellent opportunity to share ideas and build research networks. Topics included: - **Learning from Biological Sequences**: population genomics, evolutionary genomics, systems biology, transcriptomics, sequence analysis - **When Computational Biology meets Medicine**: biomedical applications, mutational landscapes, clinical genomics - **Machines Speeding up Research**: high performance computing, machine learning in the life sciences, imaging data analysis, dynamic simulations and algorithm development Key dates: - Open registration: May 6th, 2019 - Abstract submission opens: May 6th, 2019 - **Abstract submission deadline: July 1st, 2019** - Early bird registration deadline: September 15th, 2019 - Registration deadline: November 1st, 2019 - AdvCompBio Conference: November 28th - 29th, 2019 The programme will include poster and oral presentations, as well as keynotes from leading scientists in the computational biology and high-performance computing fields. The keynote speakers of the conference are: **Christine Orengo**, group leader of Orengo Group at University College London, **Natasa Przulj**, group leader of the Life Sciences – Integrative Computational Network Biology at the Barcelona Supercomputing Center and **Marie-Christine Sawley**, director of the Exascale Lab at Intel. The confirmed chairs of the conference are: **Alison Kennedy**, director of the STFC Hartree Centre, **Janet Kelso**, group leader of the Minerva Research Group for Bioinformatics at the Max Planck Institute for Evolutionary Anthropology, and **Nuria Lopez-Bigas**, leader of the Biomedical Genomics Research Group at the Institute for Research in Biomedicine Barcelona. Furthermore, the participants will have the opportunity to interact personally with female leaders in the fields of IT, academic research and politics that support the conference. The conference is organised by the Bioinfo4Women programme from the Barcelona Supercomputing Center (BSC-CNS) with the collaboration of IMIM-UPF Research Programme on Biomedical Informatics (GRIB), the Spanish National Bioinformatics Institute (INB/ELIXIR-ES) and the Universitat Politècnica de Catalunya (UPC). It is an affiliate conference of the International Society for Computational Biology (ISCB). 2019-11-28 09:00:00 UTC 2019-11-29 17:00:00 UTC La Pedrera, 92, Passeig de Gràcia, Barcelona, Spain La Pedrera, 92, Passeig de Gràcia Barcelona Barcelona Spain Imaging Machine learning Computational biology Computer science Biomedical science Sequence analysis Transcriptomics Evolutionary biology Population genomics Omics Systems biology Bioinformatics   ResearchersPhD studentsPostdoctoral studentsComputer scienceComputational biologistsbioinformaticians meetings_and_conferences  HPCBioinformaticsComputational BiologyArtificial IntelligenceGenomicsTranscriptomicsSystems biologyPopulation GenomicsEvolutinary genomicsSequence Analysisbiomedical applicationsmutational landscapesclinical genomicsImagingdynamic simulationsalgorithmsmachine learning
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